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Multiparty Communication Complexity and Threshold Circuit Size of AC^0 2009 50th Annual IEEE Symposium on Foundations of Computer Science Multiparty Communication Complexity and Threshold Circuit Size of AC0 Paul Beame∗ Dang-Trinh Huynh-Ngoc∗y Computer Science and Engineering Computer Science and Engineering University of Washington University of Washington Seattle, WA 98195-2350 Seattle, WA 98195-2350 [email protected] [email protected] Abstract— We prove an nΩ(1)=4k lower bound on the random- that the Generalized Inner Product function in ACC0 requires ized k-party communication complexity of depth 4 AC0 functions k-party NOF communication complexity Ω(n=4k) which is in the number-on-forehead (NOF) model for up to Θ(log n) polynomial in n for k up to Θ(log n). players. These are the first non-trivial lower bounds for general 0 NOF multiparty communication complexity for any AC0 function However, for AC functions much less has been known. for !(log log n) players. For non-constant k the bounds are larger For the communication complexity of the set disjointness than all previous lower bounds for any AC0 function even for function with k players (which is in AC0) there are lower simultaneous communication complexity. bounds of the form Ω(n1=(k−1)=(k−1)) in the simultaneous Our lower bounds imply the first superpolynomial lower bounds NOF [24], [5] and nΩ(1=k)=kO(k) in the one-way NOF for the simulation of AC0 by MAJ ◦ SYMM ◦ AND circuits, showing that the well-known quasipolynomial simulations of AC0 model [26]. These are sub-polynomial lower bounds for all by such circuits are qualitatively optimal, even for formulas of non-constant values of k and, at best, polylogarithmic when small constant depth. k is Ω(log n= log log n). NPcc − BPPcc k We also exhibit a depth 5 formulap in p k k for Until recently, there were no lower bounds for general up to Θ(log n) and derive an Ω(2 log n= k) lower bound on multiparty NOF communication complexity of any AC0 the randomized k-party NOF communication complexity of set 1=3 function. That changed with recent lower bounds for set disjointness for up to Θ(log n) players which is significantly disjointness by Lee and Shraibman [14] and Chattopadhyay larger than the O(log log n) players allowed in the best previous lower bounds for multiparty set disjointness. We prove other strong and Ada [8] but no lower bounds apply for !(log log n) 0 results for depth 3 and 4 AC0 functions. players. As for circuit simulations of AC , Sherstov [20] re- cently showed that AC0 cannot be simulated by polynomial- Keywords-communication complexity, constant-depth circuits, lower bounds size MAJ ◦ MAJ circuits. However, there have been no non-trivial size lower bounds for the simulation of AC0 by 1. INTRODUCTION MAJ ◦ MAJ ◦ AND or even SYMM ◦ AND circuits with !(log log n) bottom fan-in. As shown by Viola [25], suffi- The multiparty communication complexity of AC0 in ciently strong lower bounds for AC0 in the multiparty NOF the number-on-forehead (NOF) model has been an open communication model, even for sub-logarithmic numbers of question since Hastad˚ and Goldmann [11] showed that players, can yield quasipolynomial circuit size lower bounds. any AC0 or ACC0 function has polylogarithmic random- We indeed produce such strong lower bounds. We show ized multiparty NOF communication complexity when its that there is an explicit linear-size fixed-depth AC0 function input bits are divided arbitrarily among a polylogarithmic that requires randomized k-party NOF communication com- number of players. This result is based on the simulations, plexity of nΩ(1)=4k even for error exponentially close to due to Allender and Yao, of AC0 circuits [1] and ACC0 1/2. For !(1) players this bound is larger than all previous circuits [27] by quasipolynomial-size depth-3 circuits that multiparty NOF communication complexity lower bounds consist of two layers of MAJORITY gates whose inputs are for AC0 functions, even those in the weaker simultaneous polylogarithmic-size AND gates of literals. These protocols model. The bound is non-trivial for up to Θ(log n) players may even be simultaneous NOF protocols in which the and is sufficient to apply Viola’s arguments to produce fixed- players in parallel send their information to a referee who depth AC0 functions that require MAJ◦SYMM◦AND circuits computes the answer [2]. of nΩ(log log n) size, showing that quasipolynomial size is It is natural to ask whether these upper bounds can be im- necessary for the simulation of AC0. proved. In the case of ACC0, Razborov and Wigderson [18] The function for which we derive our strongest commu- showed that quasipolynomial size is required to simulate nication complexity lower bound is computable in depth 6 ACC0 based on the result of Babai, Nisan, and Szegedy [4] AC0. In the case of protocols with error 1/3, we exhibit ∗Research supported by NSF grants CCF-0514870 and CCF-0830626 a hard function computable by simple depth 4 formulas. yResearch supported by a Vietnam Education Foundation Fellowship We further show that the same lower bound applies to a 0272-5428/09 $26.00 © 2009 IEEE 53 DOI 10.1109/FOCS.2009.12 function having depth 5 formulas that also has O(log2 n) a distribution µ on inputs such that, with respect to µ, nondeterministic communication complexity which shows g is both highly correlated with f and orthogonal to all 0 cc cc m that AC contains functions in NPk − BPPk for k up low-degree polynomials. It follows that f ◦ is highly Θ(log n) g ◦ m to . As a consequence of thep lowerp bound for correlated with and, by the discrepancy method for this depth 5 function, we obtain Ω(2 log n= k−k) lower communication complexity, it suffices to prove a discrepancy bounds on the k-party NOF communication complexity of lower bound for g ◦ m. Thanks to the orthogonality of g to set disjointness which is non-trivial for up to Θ(log1=3 n) all low degree polynomials this is possible using the bound players. The best previous lower bounds for set disjointness in [4], [9], [17] derived from the iterated application of the only apply for k ≤ log log n − o(log log n) players (though Cauchy-Schwartz inequality. For example, the bound for set n k these bounds are stronger than ours for o(log log n) players). disjointness DISJk;n(x) = _i=1 ^j=1 xji corresponds to a In the full paper, we also show somewhat weaker lower particularp selector and f = OR which has approximate bounds of nΩ(1)=kO(k), which is polynomial in n for up degree Ω( n). to k = Θ(log = log log n) players, for another function In the two party case, Sherstov [23] and Razborov and in depth 4 AC0 that has O(log3 n) nondeterministic com- Sherstov [19] extended the pattern matrix method to yield munication complexity and yet another in depth 3 AC0 sign-rank lower bounds for some simple functions. A key Ω(1=k) O(k) idea for their arguments is the existence of orthogonalizing that has n =2 prandomized k-party communication complexity for k = Ω( log n) players. distributions µ for their functions that are “min-smooth” in that they assign at least some fixed positive probability to Methods and Related Work: Recently, Sherstov intro- any x such that f(x) = 1. duced the pattern matrix method, a general method to use By contrast we show that any function f for which analytic properties of Boolean functions to derive communi- approximating f within on only a subset S of inputs cation lower bounds for related Boolean functions [20], [22]. requires large degree, there is an orthogonalizing distribution In [20], this analytic property was large threshold degree, µ for f that is “max-smooth” – the probability of subsets and the resulting communication lower bounds yielded lower defined by partial assignments is never much larger than AC0 MAJ ◦ MAJ bounds for simulations of by circuits. under the uniform distribution. The smoothness quality and Sherstov [22] extended this to large approximate degree, the properties of the constrained subset S are determined yielding a strong new method for lower bounds for two- by a function α so we call the degree bound the (, α)- party randomized and quantum communication complexity. approximate degree. We show that for any function this Chattopadhyay [7] generalized [20] to pattern tensors for degree bound is large if there is a diverse collection of partial k ≥ 2 players to yield the first lower bounds for the assignments ρ such that each subfunction fjρ of f requires general NOF multiparty communication complexity of any large approximate degree. This property is somewhat deli- 0 AC function for k ≥ 3, implying exponential lower bounds cate but we are able to exhibit simple AC0 functions with 0 for computation of AC functions by MAJ ◦ SYMM ◦ ANY large (, α)-approximate degree. circuits with o(log log n) input fan-in – our results extend this to fan-in Ω(log n). Lee and Schraibman [14] and 2. PRELIMINARIES AND THE GENERALIZED Chattopadhyay and Ada [8] applied the full method in [22] DISCREPANCY/CORRELATION METHOD to pattern tensors to yield the first lower bounds for the Circuit complexity: Let AND denote the class of all general NOF multiparty communication complexity of set unbounded fan-in ^ functions (of literals), SYMM denote disjointness for k > 2 players, improving on a long line of the class of all symmetric functions and MAJ ⊂ SYMM research on the problem [3], [24], [5], [26], [12], [6] and AC0 1 O(k) denote the class of all majority functions.
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